Logistics software built for operational complexity — not a SaaS subscription that runs out of configuration options.
Madgeek builds logistics software — transportation management systems, warehouse management platforms, last-mile delivery orchestration, freight broker tools, carrier management, and AI-powered supply chain analytics — for 3PLs, freight brokers, shippers, and logistics operators in the US, UK, and Canada. Custom-built. AI included. 50+ enterprise systems shipped since 2017.
Building enterprise software since 2017
Enterprise systems shipped across complex operations
Production AI systems deployed in operations
Clutch rating from verified reviews
Standard logistics platforms stop at the edge of your actual workflow.
The large logistics platforms — SAP TM, Oracle TMS, MercuryGate — cover core TMS functionality well. When your operation runs freight broker workflows, custom carrier rating logic, multi-modal routing, or 3PL customer portal requirements, the platform's configurability reaches its limit before your requirements do. The gap is filled by people, spreadsheets, and manual processes that the platform was supposed to replace.
Carrier and rate management is where generic platforms generate the most cost. When carrier rates change, lane-specific surcharges apply, or accessorial charges need validating against contracted rates, the platform's rating engine either doesn't support the logic or requires expensive professional services to reconfigure. Load tendering mistakes and rate errors surface in accounts payable — not in a dashboard.
Warehouse operations add another integration layer. The TMS manages movements between facilities. The WMS manages movements inside them. When the two systems don't share a real-time data model, the handoff points create delays, receiving errors, and inventory discrepancies that your operations team reconciles manually.
Last-mile has its own set of requirements that 3PL and freight-focused platforms don't handle well — dynamic delivery windows, customer notification workflows, proof of delivery capture, failed delivery re-routing, and SLA performance reporting by customer. Generic platforms treat last-mile as a delivery event, not an operational workflow.
Running a logistics operation where your software is creating manual workarounds? Let's talk about what a purpose-built system looks like.
Book a 30-minute callLogistics software designed around your freight model — not the platform's data structure.
We start with your freight model — modes (FTL, LTL, parcel, intermodal), your carrier network, your customer rate structures, and your compliance requirements. The data model is built to support your specific rating logic, customer reporting requirements, and operational rules — not adapted from a template.
AI is included. Load matching and auto-tendering with carrier performance scoring. Predictive ETAs using historical lane data and real-time conditions. Demand forecasting for capacity planning. Anomaly detection in carrier invoices against contracted rates. Every AI feature goes into production with monitoring and accuracy tracking — not as a demo feature.
We've built operations platforms for companies managing complex, real-time workflows at scale — including AI systems deployed in contact centre operations. Logistics operations management is the same class of problem: high-volume event data, complex routing rules, multi-party integrations, real-time decisions.
What we build for logistics.
We build for complex, high-volume operations. Logistics is the same engineering challenge.
Real-time event processing, complex business rules, multi-party integrations, and operational workflows at scale — these are the engineering problems we've solved across regulated industries for 8+ years.
AI in production operations: 50 to 80+ agents in 3 months
Situation: A growing operations team needed to scale quality assurance from 50 to 80+ agents without adding management headcount. Manual monitoring couldn't keep pace with growth, and quality consistency was slipping.
What we built: Custom AI-powered call quality monitoring with automated scoring, performance dashboards, and coaching workflows. The AI system processes every interaction, flags quality issues, and surfaces patterns — replacing manual review that would have required dedicated QA staff.
50 → 80+ agents in 3 months
Tejas Networks: enterprise workflow platform in a regulated environment
Situation: A publicly listed telecom equipment manufacturer ran multi-level purchase requisition approvals on paper forms. Physical sign-off at each tier. Finance and operations had no visibility into pending, approved, or blocked requests. Strict compliance requirements for audit trails and access control.
What we built: We built a purchase requisition platform with role-based approval chains, configurable escalation rules, real-time dashboards, and full audit trail on every transaction. Compliance-grade access control with department-level permissions and multi-tier approval workflows.
90% reduction in paper approvals
Manufacturing ERP: complex operational rules with real-time cost tracking
Situation: A manufacturer needed a custom ERP to handle non-standard cost estimation, procurement workflows, and production scheduling. Off-the-shelf ERP systems couldn't model their pricing rules or approval hierarchies.
What we built: Purpose-built ERP with configurable business rules, multi-level approval chains, real-time cost tracking, and full audit logging. Every calculation traceable. Every approval recorded. Integration with existing accounting and inventory systems.
Complex rules + full audit trails
What we build for logistics operators and 3PLs.
Every logistics engagement is different. Here's the range of what we build — configured to your freight model, carrier network, and operational requirements.
Load planning, multi-mode carrier rating, automated tendering, shipment tracking, carrier invoice validation, and customer reporting. Built for your freight model — FTL, LTL, intermodal, or mixed.
Inbound receiving, directed putaway, pick/pack/ship, cycle counting, location management, and labour tracking. Integrates with your WCS hardware and customer TMS connections.
Route optimisation, driver mobile app, customer delivery notifications, proof of delivery capture, failed delivery workflow, and SLA performance reporting. Built for B2C, B2B, or mixed delivery models.
Load posting and matching, carrier onboarding and compliance, rate management, document capture, factoring integration, and brokerage margin reporting.
Three concerns logistics operators raise.
"We already have a TMS — do we need to replace it or can we build on top?"
Depends on where the gaps are. If the TMS handles your core freight movement well but lacks customer portal capabilities, a custom carrier analytics layer, or a specific billing workflow — we build on top via API integration. If the TMS's data model is the root cause of the workflow failures, a custom build is more efficient than layering on a platform that compounds the original problem.
"Our business has complex carrier rating logic with lane-specific surcharges and accessorials. Can your system handle that?"
Yes. Carrier rating engines with lane-based pricing, fuel surcharge tables, accessorial charge matrices, and customer-specific rate agreements are core functionality — not an advanced configuration option. The rating engine is built around your tariff structure and contract terms. Carrier invoice validation runs the same logic against what carriers actually bill.
"We process EDI with our carriers and customers. Do you support EDI integration?"
Yes. EDI 204 (Motor Carrier Load Tender), 214 (Transportation Carrier Shipment Status Message), 210 (Motor Carrier Freight Details and Invoice), and 856 (Ship Notice/Manifest) are standard integrations. We handle the EDI translation layer, acknowledgment management, and error handling. The data maps into your system's data model — you don't manage the EDI format directly.
How logistics engagements work.
Every engagement follows the same structure — freight model and integration requirements mapped before we scope the system.
Enterprise systems we've shipped.
Production platforms for complex operations, high-volume workflows, and enterprise logistics — built and maintained long-term.
AI Call Center Software for Quality Monitoring
Enterprise client
A contact centre operation was scaling rapidly but had no automated way to monitor agent call quality at volume. Madgeek built custom AI call center software that scored agent calls against domain-specific criteria, surfaced coaching opportunities, and tracked performance trends in real time. The result: the operations team scaled from 50 to 80+ agents in 3 months without adding QA headcount.
agents scaled in 3 months
Custom Purchase Requisition Software for Enterprise
Tejas Networks Ltd.
A publicly listed telecommunications manufacturer was running procurement entirely on paper forms and manual approval chains. Madgeek built custom purchase requisition software with automated approval routing, purchase order generation, real-time inventory tracking, and document management. The result was a 90% reduction in paper-based approvals and full visibility across the procurement lifecycle.
reduction in paper-based approvals
Call Center SaaS Platform — ODC Partnership
Lead Tact
Lead Tact, a US-based call center SaaS company, needed a dedicated engineering team to build their platform from scratch — not a one-time vendor build, but an ongoing ODC partnership. Madgeek's dedicated team built and maintains the full product: dynamic call scripts, automated QA monitoring, real-time client portals, analytics dashboards, and lead management workflows. The same engineers from month one are still on the product, shipping features on Lead Tact's sprint cadence.
reduction in admin time for call center operations
Common questions about logistics software development.
Have a question we didn't cover?
Talk to us directly — no forms, no sales reps.
Explore related solutions
Enterprise Software
Custom platforms for complex workflow automation, multi-department operations, and enterprise-scale requirements.
Custom ERP Development
Purpose-built ERP systems for manufacturers, distributors, and operations-heavy businesses.
AI Software Development
Production AI systems — demand forecasting, anomaly detection, and intelligent automation built into your platform.
Start with a workflow audit — not a feature estimate.
We map your freight model and integration requirements before we scope the system. Discovery calls are 30 minutes. Proposals within 5 business days.
Book a discovery call